Text: Sanna Nyström
Bigdatapump plans and executes data and analytics solutions that help their customers to gather, combine and analyze data that is relevant to their operations. The company’s solutions combine statistical and predictive modeling methods to help the customer make more informed decisions like price or process optimization.
Right from the get-go, Bigdatapump had a solid understanding on how to apply data analytics in business development. It was established by a team of Nokia’s big data experts who took up an opportunity offered under an initiative where Nokia supported its former employees in starting their own businesses.
“Nokia’s every phone, every network service generated massive amounts of data that was compiled and analyzed, and then put to good use in product development, cost-optimization or sales and marketing. Now that expertise helps our customers do the same”, says Reilander who is a Nokia alumnus himself.
Bigdatapump is evidently on the right track. Of all the new companies established under the Nokia initiative in early 2010s, only a handful – Bigdatapump included – reached over one million euros in revenues last year.
Multidisciplinary problem solver
Bigdatapump’s sound scientific know-how combined with agile project development practices and modern cloud-based environment makes it easy for Martti Reilander to promise that the company can and will solve any data analytics challenge a customer may have.
The company and most of the staff are located in Finland, but Bigdatapump’s operation is global. In addition to a host of Finnish customers in banking, insurance, telecommunications, media and manufacturing, the company’s current customers include dubizzle, the #1 online classifieds ads site in the Middle East, for example. Digital-only companies, like dubizzle, are running their business purely using data and analytics and are acting as a great benchmark for more traditional companies. Ongoing transformation with the digitalization of the factories (IoT enabled) is one growing and exciting field of analytics used for manufacturing process optimization ”
“The source of our power is a truly multidisciplinary team of people who each bring their own unique expertise to the table, from business administration, engineering or physics,” Reilander says.
“The doctors in our analytics team build the models the customer’s data analysis is based on, but just as experienced in their own field are the individuals working on project management, data management or UI visualization, for example. Bringing all relevant know-how together is what guarantees that we can deliver on what we promise.
More articles about technology here.
